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AI creates effective drug candidates by analyzing only the target protein's structure, potentially reducing costs and time in developing treatments for diseases like cancer.

This synthetic biology system enables rapid development of proteins with improved functions, offering breakthroughs in creating treatments for diseases like cancer and neurodegeneration by speeding up lab-based evolution.

Potential for developing new drugs; open-access code on Github

New technology labels proteins across whole, intact rodent brains, embryos, and even human brain samples, with "ultra-fast" speed.

Researchers have developed a new, efficient AI tool that uses deep learning to design proteins that can bind to small molecules.

This new method brings lab-based protein evolution closer to natural biological processes by incorporating timing and switching behaviors.

A global team releases a powerful tool mapping 20,000+ genes, blending human and animal data for better science.